Schneider Electric unveiled new AI infrastructure reference designs co-engineered with NVIDIA to accelerate the deployment of Blackwell-based GPU clusters. The announcement introduces the first industry framework that integrates power management and liquid cooling controls with NVIDIA Mission Control software, enabling operators to manage AI factory workloads and physical infrastructure in unison. The designs also provide end-to-end interoperability between operational technology and enterprise IT systems through a “plug-and-play” MQTT-based architecture.
A second reference design focuses on NVIDIA GB300 NVL72 rack deployments, supporting densities up to 142 kW per rack (483,000 BTU/hr), with facilities engineered to host three clusters totaling up to 1,152 GPUs in a single data hall. The blueprint covers facility power, cooling, IT space, and lifecycle management under both ANSI and IEC standards. Schneider Electric’s ETAP and EcoStruxure IT Design CFD models extend these designs into digital twins, allowing operators to simulate power and cooling scenarios before physical deployment.
Together, the frameworks address the growing need for validated, standardized approaches to high-density AI infrastructure. Schneider Electric now offers 11 reference designs for NVIDIA platforms, spanning prefabricated modules, retrofit data centers, and full AI factory builds. By streamlining design and deployment, the company aims to help data center operators reduce time-to-market and optimize reliability, efficiency, and resilience as AI clusters scale globally.
• First reference design integrates power and liquid cooling controls with NVIDIA Mission Control
• Interoperability supports AI factory orchestration, cluster management, and digital twins
• GB300 NVL72 reference design supports 142 kW per rack, up to 1,152 GPUs per hall
• Blueprints validated under ANSI and IEC standards for international deployment
• Extends Schneider Electric’s portfolio to 11 NVIDIA-aligned AI infrastructure reference designs
“Schneider Electric is streamlining the process of designing, deploying, and operating advanced AI infrastructure with its new reference designs,” said Jim Simonelli, Senior Vice President and Chief Technology Officer at Schneider Electric.
🌐 Analysis: Schneider Electric’s collaboration with NVIDIA highlights how the AI infrastructure ecosystem is converging around standardized reference designs for power and cooling at extreme rack densities. The GB300 NVL72 blueprint builds on prior GB200 work, aligning with NVIDIA’s Mission Control orchestration stack and creating a repeatable deployment path for hyperscalers and enterprises. Competitors such as Vertiv and Eaton are also developing high-density cooling and power frameworks, signaling a wider industry shift toward integrated controls systems for AI factories.
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